METHODS: Scoping review methodology guided the synthesis of 272 publications on factors influencing physical activity. Bibliometric analysis examined publication trends, productivity, influential studies, content themes, and collaboration networks.
RESULTS: Since 2010, the United States has led a significant increase in research output. Highly cited articles identified physiological limitations and psychosocial determinants as key barriers and facilitators. Extensive focus was seen in clinical medicine and exercise science journals. Analysis revealed predominant attention to psychosocial factors, physiological responses, and applications in respiratory disease. Gaps remain regarding policy and environmental factors.
CONCLUSION: This review showed major advances in elucidating determinants while revealing the remaining needs to curb the pandemic of inactivity globally. Expanding international collaboration, contemporary theoretical models, and tailored mixed-methods approaches could promote progress through greater global participation. Addressing knowledge gaps across populations and disciplines should be a priority.
METHODS: An individual patient level simulation model with an annual cycle that estimates the progression of kidney function and associated risk-factors was employed. Local costs and mortality rates were estimated from a wide range of published literature. A healthcare perspective was used over a 50-year time horizon.
RESULTS: The use of add-on empagliflozin versus SoC alone was found to be cost-saving in Malaysia and Thailand and cost-effective (ICER: 77,838,407 Vietnam Dong/QALY vs. a willingness to pay threshold of 96,890,026/QALY) in Vietnam. The bulk of the costs avoided over a lifetime is derived from the prevention or delay of dialysis initiation or kidney transplant - the cost offsets were nearly twice the additional treatment cost. The results were similar in patients with and without diabetes and across broad range of albuminuria.
CONCLUSIONS: The use of add-on empagliflozin in a broad population of patients with CKD is expected to be cost-saving in Malaysia and Thailand and cost-effective in Vietnam and will help alleviate the increasing burden of CKD in the region.
METHODS: The current study is a substudy of the SEVARVIR prospective multicenter observational cohort study. Patients admitted to any of the 40 participating ICUs between November 17, 2022, and January 22, 2024, were eligible for inclusion in the SEVARVIR cohort study (NCT05162508) if they met the following inclusion criteria: age ≥ 18 years, SARS-CoV-2 infection confirmed by a positive reverse transcriptase-polymerase chain reaction (RT-PCR) in nasopharyngeal swab samples, ICU admission for acute respiratory failure. The primary clinical endpoint of the study was day-28 mortality. Evaluation of the association between day-28 mortality and sublineage group was conducted by performing an exploratory multivariable logistic regression model, after systematically adjusting for predefined prognostic factors previously shown to be important confounders (i.e. obesity, immunosuppression, age and SOFA score) computing odds ratios (OR) along with their corresponding 95% confidence intervals (95% CI).
RESULTS: During the study period (November 2022-January 2024) 56 JN.1- and 126 XBB-infected patients were prospectively enrolled in 40 French intensive care units. JN.1-infected patients were more likely to be obese (35.7% vs 20.8%; p = 0.033) and less frequently immunosuppressed than others (20.4% vs 41.4%; p = 0.010). JN.1-infected patients required invasive mechanical ventilation support in 29.1%, 87.5% of them received dexamethasone, 14.5% tocilizumab and none received monoclonal antibodies. Only one JN-1 infected patient (1.8%) required extracorporeal membrane oxygenation support during ICU stay (vs 0/126 in the XBB group; p = 0.30). Day-28 mortality of JN.1-infected patients was 14.6%, not significantly different from that of XBB-infected patients (22.0%; p = 0.28). In univariable logistic regression analysis and in multivariable analysis adjusting for confounders defined a priori, we found no statistically significant association between JN.1 infection and day-28 mortality (adjusted OR 1.06 95% CI (0.17;1.42); p = 0.19). There was no significant between group difference regarding duration of stay in the ICU (6.0 [3.5;11.0] vs 7.0 [4.0;14.0] days; p = 0.21).
CONCLUSIONS: Critically-ill patients with Omicron JN.1 infection showed a different clinical phenotype than patients infected with the earlier XBB sublineage, including more frequent obesity and less immunosuppression. Compared with XBB, JN.1 infection was not associated with higher day-28 mortality.
PURPOSE: This study aimed to identify the symptom responses and disease burden of long COVID in individuals with spinal cord injury.
METHODS: This case-control study was conducted on patients with SCI residing at a specialised rehabilitation centre in Bangladesh. Forty patients with SCI with and without long COVID symptoms (LCS) were enrolled in this study at a 1:1 ratio according to WHO criteria.
RESULT: Twelve LCS were observed in patients with SCI, including fatigue, musculoskeletal pain, memory loss, headache, respiratory problems, anxiety, depression, insomnia, problem in ADL problem in work, palpitation, and weakness. The predictors of developing long COVID include increasing age (p<0.002), increasing BMI (p<0.03), and longer duration of spinal cord injury (p<0.004). A significant difference (p<0.01) in overall years of healthy life lost due to disability (YLD) for non-long COVID cases was 2.04±0.596 compared to long COVID (LC) cases 1.22±2.09 was observed.
CONCLUSION: Bangladeshi patients of SCI presented 12 long COVID symptoms and have a significant disease burden compared to non long COVID cases.
METHOD: A retrospective review was conducted on patients who underwent elective neurosurgical procedures from January 1, 2021, to December 31, 2021, in a 1600-bed tertiary teaching hospital. The study assessed adherence to national and hospital SAP guidelines, focusing on the choice of antibiotic, dosage, timing, and duration. Additionally, a survey was conducted among neurosurgeons to evaluate their knowledge, attitudes, and practices regarding SAP.
RESULT: Out of 202 patients included, there was a 99% compliance rate with antibiotic choice and 69.8% with the antibiotic duration. The SSI rate was identified at 6.4%. The knowledge, attitudes, and practices survey highlighted a strong awareness of SAP guidelines among surgeons, albeit with variations in practice, particularly in antibiotic duration and choice of antibiotics.
CONCLUSIONS: While there is high adherence to the correct choice of antibiotic for SAP in elective neurosurgery, there are gaps in compliance with the recommended duration of antibiotic use. The study highlights the need for targeted interventions to improve adherence to SAP guidelines, which could potentially reduce the incidence of SSI in neurosurgery. Ongoing education and auditing are essential to optimize SAP practices and enhance patient outcomes in neurosurgery.
MATERIALS AND METHODS: This study adhered rigorously to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for literature searches. The literature databases, including PubMed, Embase, Cochrane, and Scopus were systematically searched individually. The methodological quality of the incorporated studies underwent assessment utilizing the radiomics quality score (RQS) tool. A random-effects meta-analysis employing the Harrell concordance index (C-index) was conducted to evaluate the performance of all radiomics models.
RESULTS: Among the 388 studies retrieved, 24 studies encompassing a total of 6,978 cases were incorporated into the systematic review. Furthermore, eight studies, focusing on overall survival as an endpoint, were included in the meta-analysis. The meta-analysis revealed that the estimated random effect of the C-index for all studies utilizing radiomics alone was 0.77 (0.71-0.82), with a substantial degree of heterogeneity indicated by an I2 of 80.17%.
CONCLUSIONS: Based on this review, prognostic modeling utilizing radiomics has demonstrated enhanced efficacy for head and neck cancers; however, there remains room for improvement in this approach. In the future, advancements are warranted in the integration of clinical parameters and multimodal features, balancing multicenter data, as well as in feature screening and model construction within this field.